MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a structured approach to trust center information architecture without fake badges, focusing on evidence ownership.
Who it is for
- Trust center managers
- Security compliance teams
- Technical writers
- Product security engineers
Use cases
- Planning trust center content structure
- Tracking evidence ownership
- Identifying gaps in security documentation
- Standardizing trust center IA
Strengths
- Open source with MIT license
- Easy install via npx skills
- Focus on genuine evidence rather than fake badges
- Provides a structured outline
Considerations
- No usage examples beyond a sample file
- Requires skills CLI tool
- Limited documentation in README
README quick start
Trust Center Outline
Trust Center IA and page briefs with evidence owners — no fake badges.
中文简介： Trust Center 信息架构与页要点 — 无伪徽章。 — README.zh.md.
What this skill does
- Sitemap + evidence index + gaps
Install
npx skills add / --skill trust-center-outline
Local skills/trust-center-outline/. Default lang=en. See SKILL.md.
Example
../../output/samples/trust-center-outline-example-01.md
License
MIT
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